AutoTRUST: Inclusiveness and trust in the interaction between users and new automated modes of road transport and mobility services
Acronym: AutoTRUST
Duration: 36 months
Timeline: 2024-2027
Project Type: European Research Projects
Funding Agency: Horizon 2020
Website: https://autotrust-he.eu/about/overview
AutoTRUST is a European Union-funded project under the Horizon Europe research and innovation program.
It aims to address the growing need for inclusive, accessible, and resilient mobility solutions as the world transitions to autonomous vehicles.
Bringing together 16 partners from 10 countries, AutoTRUST leverages AI to create adaptive vehicle technologies that prioritize user safety, comfort, and accessibility, especially for vulnerable groups such as persons with reduced mobility.
We envision a future where transportation is inclusive, seamless, and secure for all.
By integrating AI-driven, self-adaptive solutions, AutoTRUST seeks to transform mobility, ensuring that everyone can experience the benefits of autonomous vehicles, regardless of ability or background. Our solutions focus on enhancing trust, security, and resilience in the interaction between users and automated transport systems.
XRive: Enhancing Driver Safety with Extended Reality
Acronym: XRive
Duration: 12 months
Timeline: 2025-2026
Project Type: Cascade Funding
Funding Agency: Horizon 2020
Website: https://forum.xr2learn-marketplace.eu/t/xrive-get-to-know-the-oc2/257
The XRive project focuses on using Extended Reality (XR) to significantly improve driver safety, awareness, and trust in Connected and Automated Vehicles (CAVs).
By developing an immersive and interactive XR platform, XRive aims to train drivers to better understand and interact with advanced in-vehicle technologies and HMIs.
The project incorporates a human-in-the-loop approach, gathering user feedback to help automotive manufacturers design more intuitive and effective systems.
Ultimately, XRive seeks to reduce accidents, accelerate the adoption of CAVs, and benefit diverse stakeholders including drivers, manufacturers, insurance companies, and safety authorities, contributing to a safer and more efficient future of mobility.
ESA BIC Greece incubation
Acronym: ESA BIC
Duration: 18 months
Timeline: 2024-2025
Project Type: Business Incubation Center
Funding Agency: ESA
Website: https://esa-bic.gr/avisense/
AviSense aims to enhance the safety and efficiency of (semi)-autonomous vehicles by combining data (maps, satellite data, location information, etc.) with AI-driven scene understanding, perception and highly precise localization capabilities on a global scale. We provide comprehensive solutions that enable real-time 4D location awareness of neighboring road agents, increasing significantly safety, energy efficiency reduction, driver situational awareness, and passenger experience.
Enhanced Driver Awareness through Cooperative XR Technologies
Acronym: SafeDriveXR
Duration: 6 months
Timeline: 2025
Project Type: Cascade Funding
Funding Agency: 6G-XR Vertical Replicability Enablers Open Call (OC3)
Website: https://6g-xr.eu/open-calls/oc3/
With the recent technological breakthroughs in connected and semi-automated transport, there is no doubt that a shared vision for a large-scale deployment of Cooperative Intelligent Transport Systems (C-ITS) in the European Union exists4. Connected and Automated Vehicles (CAVs) are expected to be the cornerstone of tomorrow’s EU-envisioned envisioned Cooperative, Connected, and Automated Mobility (CCAM), being able to extend their perception capabilities beyond the range of individual sensors, boosting the drivers’ situational awareness and enhancing performance, safety and comfort.
Equally importantly, 5/6G-enabled vehicular networks are expected to minimize network latency and delay, provide critical information regarding the environment, in a timely manner, and meet human reaction times in visual feedback.
In this framework, SafeDriveXR will develop a new 5/6G-enabled paradigm incorporating multiple heterogeneous devices that cooperate to provide drivers with highly interactive eXtended Reality (XR) interfaces and tools for real-time visualizations of traffic, road conditions, and obstacles, helping them to improve decision-making, reduce response times to hazards, and increase overall road safety.
This will be achieved by novel distributed and cooperative signal processing and learning approaches integrated over the cloud edge continuum, capitalizing dynamic 5/6G-enabled cloud-to-edge services across the vehicular network.
These will enable the accurate identification of user situational awareness of different critical situations and the correct and timely detection of road obstacles, vehicles, and Vulnerable Road Users (VRUs).
The novel strategies for service component distribution and intelligent coordination will significantly reduce communication latencies, meeting human reaction time in visual XR feedback.
The use of XR interfaces and QoE evaluation methodologies will boost personalization & adaptation of the rendered information based on user context.
5G Intelligent Automotive Network Applications Open Call #2
Acronym: 5G-IANA OC2
Duration: 6 months
Timeline: 2024
Project Type: Cascade Funding
Funding Agency: EU Horizon 2020
Website: https://www.5g-iana.eu/get-involved/open-call-2/
The 5G-IANA project, funded by the European Union’s Horizon 2020 research and innovation programme, launched its second Open Call to support European SMEs and start-ups in developing and testing innovative automotive network applications using 5G technology. This initiative aimed to provide participants with access to the 5G-IANA platform, enabling them to experiment with 5G-enabled communication systems and integrate their solutions into a cutting-edge 5G ecosystem. Through this Open Call, selected applicants received mentorship and technical support to build their experiments and position themselves within the 5G landscape. The program emphasized fostering innovation in the automotive sector by leveraging 5G capabilities, there by contributing to the advancement of connected and autonomous vehicle technologies
In the 5G-IANA project, AviSense designed, implemented, and deployed advanced Cooperative Localization and Crossview Geolocalization systems aimed at significantly enhancing situational awareness for Connected and Automated Vehicles (CAVs) by leveraging the low-latency, high-bandwidth capabilities of 5G networks. These systems were tested in realistic and challenging deployment scenarios, demonstrating high-accuracy performance, efficient sensor data integration, and pushing forward the technological maturity of our perception and localization solutions.
Coevolution: A COMPREHENSIVE TRUSTWORTHY FRAMEWORK FOR CONNECTED MACHINE LEARNING AND SECURE INTERCONNECTED AI SOLUTIONS
Acronym: Coevolution
Duration: 36 months
Timeline: 2024-2027
Project Type: European Research Projects
Funding Agency: Horizon 2020
Website: https://coevolution-project.eu/
Coevolution is a European Union-funded project under the Horizon Europe research and innovation program, bringing together 15 partners from various countries.
The main objective is to focus on establishing a comprehensive security and risk assessment process for AI models throughout their lifecycle, ensuring security-by-design under various paradigms (single, collaborative, or interconnected AI agents). A Security, Trust, and Robustness Defense Framework will be developed to align with EU AI regulations.
The initiative aims to create a CoEvolution hub for secure AI supply chains, validated through complex pilots, and culminate in a sustainable business plan. In the Coevolution project, AVISENSE plays a key role as the leader of WP6, overseeing multiple technical tasks and co-leading the automotive pilot alongside AVL.
The company is responsible for developing adversarial attack strategies and designing robust defense mechanisms for both single-agent and collaborative perception scenarios in autonomous systems.





